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Diffstat (limited to 'unsupported/Eigen/src/SparseExtra/UmfPackSupport.h')
-rw-r--r--unsupported/Eigen/src/SparseExtra/UmfPackSupport.h29
1 files changed, 15 insertions, 14 deletions
diff --git a/unsupported/Eigen/src/SparseExtra/UmfPackSupport.h b/unsupported/Eigen/src/SparseExtra/UmfPackSupport.h
index 9d7e3e96e..4be1aca62 100644
--- a/unsupported/Eigen/src/SparseExtra/UmfPackSupport.h
+++ b/unsupported/Eigen/src/SparseExtra/UmfPackSupport.h
@@ -183,11 +183,11 @@ class SparseLU<_MatrixType,UmfPack> : public SparseLU<_MatrixType>
bool solve(const MatrixBase<BDerived> &b, MatrixBase<XDerived>* x) const;
template<typename Rhs>
- inline const ei_solve_retval<SparseLU<MatrixType, UmfPack>, Rhs>
+ inline const internal::solve_retval<SparseLU<MatrixType, UmfPack>, Rhs>
solve(const MatrixBase<Rhs>& b) const
{
- ei_assert(true && "SparseLU is not initialized.");
- return ei_solve_retval<SparseLU<MatrixType, UmfPack>, Rhs>(*this, b.derived());
+ eigen_assert(true && "SparseLU is not initialized.");
+ return internal::solve_retval<SparseLU<MatrixType, UmfPack>, Rhs>(*this, b.derived());
}
void compute(const MatrixType& matrix);
@@ -197,7 +197,7 @@ class SparseLU<_MatrixType,UmfPack> : public SparseLU<_MatrixType>
inline const MatrixType& matrixLU() const
{
- //ei_assert(m_isInitialized && "LU is not initialized.");
+ //eigen_assert(m_isInitialized && "LU is not initialized.");
return *m_matrixRef;
}
@@ -221,10 +221,11 @@ class SparseLU<_MatrixType,UmfPack> : public SparseLU<_MatrixType>
mutable bool m_extractedDataAreDirty;
};
+namespace internal {
template<typename _MatrixType, typename Rhs>
- struct ei_solve_retval<SparseLU<_MatrixType, UmfPack>, Rhs>
- : ei_solve_retval_base<SparseLU<_MatrixType, UmfPack>, Rhs>
+ struct solve_retval<SparseLU<_MatrixType, UmfPack>, Rhs>
+ : solve_retval_base<SparseLU<_MatrixType, UmfPack>, Rhs>
{
typedef SparseLU<_MatrixType, UmfPack> SpLUDecType;
EIGEN_MAKE_SOLVE_HELPERS(SpLUDecType,Rhs)
@@ -233,8 +234,8 @@ template<typename _MatrixType, typename Rhs>
{
const int rhsCols = rhs().cols();
- ei_assert((Rhs::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major rhs yet");
- ei_assert((Dest::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major result yet");
+ eigen_assert((Rhs::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major rhs yet");
+ eigen_assert((Dest::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major result yet");
void* numeric = const_cast<void*>(dec().numeric());
@@ -244,13 +245,13 @@ template<typename _MatrixType, typename Rhs>
errorCode = umfpack_solve(UMFPACK_A,
dec().matrixLU()._outerIndexPtr(), dec().matrixLU()._innerIndexPtr(), dec().matrixLU()._valuePtr(),
&dst.col(j).coeffRef(0), &rhs().const_cast_derived().col(j).coeffRef(0), numeric, 0, 0);
- ei_assert(!errorCode && "UmfPack could not solve the system.");
+ eigen_assert(!errorCode && "UmfPack could not solve the system.");
}
}
};
-
+} // end namespace internal
template<typename MatrixType>
void SparseLU<MatrixType,UmfPack>::compute(const MatrixType& a)
@@ -258,7 +259,7 @@ void SparseLU<MatrixType,UmfPack>::compute(const MatrixType& a)
typedef typename MatrixType::Index Index;
const Index rows = a.rows();
const Index cols = a.cols();
- ei_assert((MatrixType::Flags&RowMajorBit)==0 && "Row major matrices are not supported yet");
+ eigen_assert((MatrixType::Flags&RowMajorBit)==0 && "Row major matrices are not supported yet");
m_matrixRef = &a;
@@ -322,9 +323,9 @@ bool SparseLU<MatrixType,UmfPack>::solve(const MatrixBase<BDerived> &b, MatrixBa
{
//const int size = m_matrix.rows();
const int rhsCols = b.cols();
-// ei_assert(size==b.rows());
- ei_assert((BDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major rhs yet");
- ei_assert((XDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major result yet");
+// eigen_assert(size==b.rows());
+ eigen_assert((BDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major rhs yet");
+ eigen_assert((XDerived::Flags&RowMajorBit)==0 && "UmfPack backend does not support non col-major result yet");
int errorCode;
for (int j=0; j<rhsCols; ++j)